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Annoy-PyEdu-Rs

by Baxter Doyle toolathlon5/Annoy-PyEdu-Rs

This is the resource page of the our resources collection on Huggingface, we highlight your currect position with a blue block. Dataset Please also check the raw data after our processing if you are interested: toolathlon5/Annoy-PyEdu-Rs-Raw.

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Size6.6 KB
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AccessPublicly accessible
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Dataset Card

This is the resource page of the our resources collection on Huggingface, we highlight your currect position with a blue block. Dataset Please also check the raw data after our processing if you are interested: toolathlon5/Annoy-PyEdu-Rs-Raw. Models Introduction While having full executable code theoretically allows us to generate reliable execution trajectories as responses, two challenges arise: 1) Obtaining a deterministic reverse function for input prediction is impractical; 2) Automatically constructed trajectories are constrained by pre-designed templates and lack the expressiveness and generalizability of free-form natural language reasoning. Thus, we adopt a fully LLM-based approach…

Excerpt from the card by Baxter Doyle.

Details

Repository
toolathlon5/Annoy-PyEdu-Rs
Publisher
Baxter Doyle
Task category
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Tags
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Size category
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Languages
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Revision
d2afcec18ac6c964753859a4696a65201e919782
Last updated
2026-09-18

Files

2 files, 6.6 KB in total.

Documentation1 file · 4.1 KB
Repository1 file · 2.5 KB
Every file
FileTypeSizeSHA-256
README.mdDocumentation4.1 KB
.gitattributesRepository2.5 KB

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Download from Baxter Doyle

Released by Baxter Doyle through its official repository on Hugging Face.